Wavelet analysis, being a popular time-frequency analysis method has been applied in
various fields to analyze a wide range of signals covering biological signals, vibration …

This paper introduces an automatic feature extraction system for gear and bearing fault
diagnosis using wavelet-based signal processing. Vibration signals recorded from two …

How the CNS masters the many degrees of freedom of the musculoskeletal system to control
goal-directed movements is a long-standing question. We have recently provided support to …

Because humans have limited ability to independently control the many joints of the hand, a
wide variety of hand shapes can be characterized as a weighted combination of just two or …

During the last two decades, wavelet transform has become a common signal processing
technique in various areas. Selection of the most similar mother wavelet function has been a …

Spinal cord modularity impacts on our understanding of reflexes, development, descending
systems in normal motor control, and recovery from injury. We used independent component …

The estimation and prediction of groundwater levels (GWLs) are key to water resource
management and directly linked to the socio-economic growth of sub-Saharan Africa. This …

Features can be classified into interferential features and discriminable features according to
their contribution to pattern recognition. In this paper, a novel and simple method based on …

Voluntary muscle fatigue is a progressive process. A recent study demonstrated muscle
fatigue-induced weakening of functional corticomuscular coupling measured by coherence …

Virtuosity in music performance is often associated with fast, precise, and efficient sound-
producing movements. The generation of such highly skilled movements involves complex …